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Relationship between dyslipidaemia and glycaemic status in patients with Type 2 diabetes mellitus

S C Thambiah1, I N Samsudin, E George

  • 1Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Pathology, 43400, UPM Serdang, Selangor, Malaysia. subashini@upm.edu.my.

The Malaysian Journal of Pathology
|August 30, 2016
PubMed

Insights

Glycated haemoglobin (HbA1c) levels are strongly linked to dyslipidaemia in type 2 diabetes patients. Higher HbA1c indicates a greater risk of cardiovascular disease, suggesting HbA1c can predict lipid issues.

Area of Science:

  • Endocrinology
  • Cardiology
  • Metabolic Syndrome

Background:

  • Diabetic patients face elevated coronary heart disease (CHD) risk due to atherogenic lipid profiles.
  • Glycated haemoglobin (HbA1c) severity correlates with CHD in diabetics.
  • Malaysian guidelines recommend HbA1c < 6.5% to reduce diabetic complications.

Purpose of the Study:

  • To investigate the relationship between dyslipidaemia and glycaemic status in type 2 diabetes mellitus (T2DM) patients.
  • To assess HbA1c as a potential biomarker for dyslipidaemia and cardiovascular disease (CVD) risk in T2DM.

Main Methods:

  • Retrospective cross-sectional study of 214 T2DM patients with dyslipidaemia.
  • Data collected from Hospital Putrajaya endocrine clinic (January 2009 - December 2012).
  • Analysis of correlations between fasting blood glucose (FBG), HbA1c, and various lipid parameters (TC, TG, LDL, non-HDL, LDL/HDL, TC/HDL).

Main Results:

  • Significant correlations found between FBG and HbA1c with all measured lipid parameters, with HbA1c showing stronger correlations.
  • Patients with HbA1c ≥ 6.5% had significantly higher TC, TG, non-HDL, and TC/HDL ratios.
  • Statin treatment was associated with significantly lower non-HDL, LDL/HDL, TC/HDL ratios, and HbA1c levels.

Conclusions:

  • Glycaemic status is significantly associated with dyslipidaemia in T2DM patients.
  • HbA1c may serve as a valuable biomarker for dyslipidaemia.
  • HbA1c could be a potential indirect predictor of CVD risk in T2DM patients.

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